ExplainMyMutations.AI
Clinical problem
Patients and clinicians increasingly hold molecular reports that are technically complete but difficult to interpret. The barrier is not access to the result; it is understanding what the result means, how confident it is, and what question it raises next.
Scientific question
Can molecular findings be explained in accurate, appropriately hedged language that preserves scientific uncertainty rather than flattening it?
Data
Molecular variant descriptions, curated variant knowledge bases and published biomedical literature.
Methods
Natural language processing over biomedical text, structured variant annotation, and retrieval grounded in cited sources rather than unsourced generation.
Innovation
The design goal is explanation with its uncertainty intact — including saying plainly when the evidence for a finding is weak or absent.
Potential clinical impact
Better-prepared conversations between patients and their treating teams, and a clearer view of which findings warrant discussion.
Outputs
In development.